| # PhysioNet 2012 Challenge dataset # | |
| ### Raw data### | |
| * /rawdata/ | |
| * Raw data: set-a, set-b, set-c, Outcomes-a.txt, Outcomes-b.txt, Outcomes-c.txt | |
| * Data source: https://www.physionet.org/content/challenge-2012/1.0.0/ | |
| ### Data parsing (process_scripts) ### | |
| Run following scripts in turn: | |
| * /process_scripts/ | |
| * ParseData.py : generate arr\_outcomes.npy, ts\_params.npy, static\_params.npy, and P\_list.npy | |
| * IrregularSampling.py: generate: extended\_static\_params.npy, PTdict\_list.npy | |
| * Generate\_splitID.py: generate phy12\_splitX.npy where X range from 1 to 5. Only contains the IDs. Train/val/test = 9:1:1 | |
| Note: PTdict\_list.npy and arr\_outcomes.npy are the most important files. | |
| ### Processed data ###: | |
| * /processed_data/ | |
| * PTdict_list.npy | |
| * arr_outcomes.npy | |
| * ts_params.npy | |
| * extended_static_params.npy | |
| * static_params.npy | |
| * P_list.npy | |
| * /splits/ | |
| * phy12\_splitsX.npy where X range from 1 to 5. In splits folder: there are 5 npy files, each contains three array representing idx\_train,idx\_val,and idx\_test. | |